We are seeking Cloud Applications Engineers to join our Bangalore-based team, responsible for ensuring the development, deployment, reliability, maintainability, and evolution of our cloud-native products. This role combines application development with cloud infrastructure ownership, focusing on enhancing system performance, observability, and feature delivery across our Google Cloud-based stack. You will work hands-on with backend, frontend, and data systems while also applying DevOps best practices to streamline deployment and system operations.

Responsibilities :

- Build and enhance features in our applications using Python, Node.js, and React.

- Develop and maintain cloud-native services on Google Cloud Platform, including BigQuery, Cloud SQL, and Cloud Functions.

- Improve system reliability and maintainability through automation, refactoring, and monitoring.

- Own and manage CI/CD pipelines to ensure seamless and secure deployments.

- Build operational dashboards using Superset and other observability tools.

- Collaborate with cross-functional teams to improve performance, scale, and uptime.

- Respond to incidents, troubleshoot production issues, and apply learnings to prevent recurrence.

Requirements :

- 5+ years of experience in full-stack or backend-focused cloud engineering roles.

- Strong experience with Google Cloud Platform or other cloud ecosystems.

- Solid command of SQL and experience working with large datasets.

- Comfort with both application development and cloud infrastructure.

- Familiarity with CI/CD, monitoring, and observability best practices.

- Strong debugging skills and a bias for improving system design over time.

- Experience with Superset or similar BI/dashboarding tools.

- Prior experience building data products or analytics-driven systems.

- Exposure to performance tuning on GCP (especially BigQuery, Cloud SQL).

- Knowledge of security and access control in cloud environments.

Tech Stack :

- Cloud : Google Cloud Platform (BigQuery, Cloud SQL, IAM, Cloud Functions).

- DevOps : Docker, CI/CD (GitHub Actions / Cloud Build).

- Visualization : Superset.

- Database : SQL, BigQuery.